Bases demographiques de la montee de l'emploi et des gains chez les meres seules au Canada et aux Etats-Unis, 1980 a 2000
Bibliographic record
Abstract
Malgre des reformes relativement modestes du regime de bien-etre au Canada par rapport aux Etats Unis, les taux d'emploi et la remuneration des meres seules ont progresse depuis 1980 presque d'un meme ordre de grandeur dans ces deux pays. Nous allons montrer que la plupart des hausses au Canada et une partie appreciable de l'evolution aux Etats-Unis s'expliquent par la dynamique de la succession des cohortes et du vieillissement de la population, la generation nombreuse et plus scolarisee du baby-boom ayant remplace les anciennes cohortes et ayant elle-meme accede a la quarantaine. Au Canada comme aux Etats-Unis, les effets demographiques sont le principal facteur expliquant la montee de l'emploi et des gains chez les meres seules plus agees (40 ans et plus). Chez les meres plus jeunes en revanche, ce qui a surtout joue, c'est l'evolution du comportement sur le marche du travail et d'autres variables non mesurees. Dans l'ensemble, l'evolution demographique a predomine au Canada, mais non aux Etats-Unis, et ce, pour deux raisons : a) les meres seules sont bien plus agees au Canada qu'aux Etats-Unis; b) dans le sens meme de la these de la reforme du bien-etre, l'evolution des comportements a eu bien plus d'ampleur chez les meres seules plus jeunes aux Etats-Unis.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".